Hardware computation of conductance-based neuron models.
Ludovic Alvado, Jean Tomas, Sylvain Saïghi, Sylvie Renaud, Thierry
Bal, Alain Destexhe and Gwendael LeMasson
Neurocomputing 58: 109-115, 2004.
We review different applications of silicon conductance-based neuron models
implemented on analog circuits. At the single-cell level, we describe a circuit
in which conductances are programmed to simulate various Hodgkin-Huxley type
models. Integrated in a hardware/software system, they provide a simulation
tool; an illustrative example is the simulation of bursting neurons of the
thalamus. At the network level, we present a mixed analog-digital architecture,
where the connectivity and the plasticity rules are implemented digitally and are
therefore very flexible. These circuits provide valuable tools for real-time
simulations, including hybrid applications where single-neuron or network models
are interfaced with biological cells.
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